Update app.py

app.py

@@ -112,15 +112,15 @@ def sample_info(sample_id_str, fieldn):
         str__ += "\noutput scalars:\n"
         for sname in hf_dataset.description['out_scalars_names']:
             str__ += f"- {sname}: {round_num(plaid_sample.get_scalar(sname))}\n"
-    str__ += f"\n\nMesh number of nodes: {nodes.shape[0]}\n"
-    if len(hf_dataset.description['in_fields_names'])>0:        
-        str__ += "\ninput fields:\n"
-        for fname in hf_dataset.description['in_fields_names']:
-            str__ += f"- {fname}\n"
-    if len(hf_dataset.description['out_fields_names'])>0:        
-        str__ += "\noutput fields:\n"
-        for fname in hf_dataset.description['out_fields_names']:
-            str__ += f"- {fname}\n"
+    # str__ += f"\n\nMesh number of nodes: {nodes.shape[0]}\n"
+    # if len(hf_dataset.description['in_fields_names'])>0:        
+    #     str__ += "\ninput fields:\n"
+    #     for fname in hf_dataset.description['in_fields_names']:
+    #         str__ += f"- {fname}\n"
+    # if len(hf_dataset.description['out_fields_names'])>0:        
+    #     str__ += "\noutput fields:\n"
+    #     for fname in hf_dataset.description['out_fields_names']:
+    #         str__ += f"- {fname}\n"
 
     return str__, "./visu.obj"
 
@@ -133,7 +133,7 @@ if __name__ == "__main__":
             with gr.Column(scale=1):
                 d1 = gr.Slider(0, nb_samples-1, value=0, label="Training sample id", info="Choose between 0 and "+str(nb_samples-1))
                 output1 = gr.Text(label="Training sample info")
-            with gr.Column(scale=2):
+            with gr.Column(scale=2, min_width=300):
                 d2 = gr.Dropdown(field_names_train, value=field_names_train[0], label="Field name")        
                 # output2 = gr.Image(label="Training sample visualization")    
                 output2 = gr.Model3D(label="Training sample visualization")